Senior AI Software Developer (Canada Remote)

Job Requisition ID # 26WD97846 Position Overview     Do you thrive in a fast-paced, high-energy environment? Are you a creative problem solver who enjoys building solutions and products using   cutting edge   technologies? Are you looking to collaborate with motivated individuals from diverse backgrounds? Do you have the drive to make things happen? If so, you are in the right place.    Autodesk is leading the transformation of how users interact with design and engineering software by embedding AI deeply into our products. We are building cloud-native, AI-powered platforms that   operate   at scale,   leveraging   data, machine learning, and agentic systems to deliver intelligent, adaptive, and personalized experiences across our flagship products including AutoCAD, Revit, Construction Cloud, and Forma.   The Personalized Experiences Team is a centralized Personalization group working closely with product line development teams across the company to democratize ML/Analytics across all Autodesk products.   As a   Senior Applied Scientist, Personalization , you will play a key role in designing, building, and productionizing agent-driven personalization platforms used by millions of customers. This role is ideal for a senior, hands-on engineer who combines strong software fundamentals with experience delivering AI and ML systems into reliable, scalable production environments.   As an Applied Scientist at Autodesk, you will   operate   at the intersection of research and engineering building  AI agents, ML systems, data platforms, and   helping   transform advanced AI capabilities into trusted, reproducible, and widely adopted platform features.    This position is remote Canada.

Design, build, and   operate   production-grade agentic personalization systems that adapt to user behavior and context   Research, develop and implement ML models using Transformers, LLMs, and classical ML algorithms for search and recommendation use cases   Be proficient in agentic frameworks (e.g.,   LangGraph ) and building systems that orchestrate multi-step reasoning, tool use, and decision-making workflows.   Be proficient in optimized inference engines/frameworks like   vLLM ,   TensorRT   Productionize ML- and LLM-powered workflows, including inference services, orchestration, monitoring, and iteratio n   Build agentic systems that leverage agent memory, retrieval-augmented generation (RAG), and tool ecosystems/APIs to deliver context-aware personalization and recommendations   Build and evolve data and feature pipelines that power personalization, experimentation, and feedback loops   Develop robust methods to evaluate LLM performance, ensuring ethical AI practices   Monitor and improve deployed models based on real-world performance metrics and customer feedback   Collaborate with cross-functional teams including engineering, product management, and operations to translate research into production systems   Minimum Qualifications   BS or MS in Computer Science, Engineering, or a related field   6   or more years of professional software engineering experience, including ownership of production systems   Strong experience building   AI systems   in cloud environments, AWS preferred   Hands-on experience delivering AI, ML, or LLM-powered systems into production   Experience with AI agents, orchestration frameworks, or hybrid reasoning systems   Experience with   MLOps   practices, experimentation frameworks, and model monitoring   Proficiency   in one or more programming languages such as Python, Java, or equivalent   Experience working with data systems including RDBMS, NoSQL, data warehouses, and streaming platforms   Strong understanding of system design, scalability, and operational excellence   Ability to work autonomously while collaborating effectively across engineering, product, and data teams   Excellent communication skills and ability to influence technical